WAWL-net: A hybrid model combining weighted aggregation and wavelet convolutions for tropical cyclone intensity estimation

Key Points

• Tropical cyclone intensity estimation improved significantly, enhancing forecasting accuracy.
• The hybrid model combines wavelet convolutions and weighted aggregation to analyze cyclone data.
• Using advanced algorithms, the model processes real-time data for precise intensity predictions.
• This hybrid approach may enhance storm tracking and early warning systems for severe weather.